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Abstract #2463

Improved Scan Efficiency of 3D Fast Spin Echo with Subspace-Constrained Reconstruction

Jonathan I. Tamir 1 , Weitian Chen 2 , Peng Lai 2 , Martin Uecker 1 , and Michael Lustig 1

1 Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2 Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States

Scan efficiency plays a major role in 3D Fast Spin Echo because of the tradeoff between image blurring and SNR. The number of echo trains during a scan is limited by the TR interval, which is often much longer than the prescribed echo train length (ETL). Here we explore the benefit of using the extra time in the TR to increase the ETL. We show that a model-based, subspace-constrained reconstruction is able to use the additional data to increase SNR. The approach has a fixed SNR cost independent of ETL compared to a reconstruction where the relaxation parameters are known.

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